After joint best basis selection, eigen-images are generated and applied in a volume holographic correlation recognition system to implement optical iris recognition.
生成最优基的特征图像，采用体全息相关识别系统实现虹膜的光学识别，实验取得较好的效果。
The L F signals are transformed by entropy based on wavelet packet algorithms for best basis selection, and the results are displayed in time- frequency space namely phase plane.
该方法采用基于熵的小波包最佳基选取准则，对局部损伤信号进行自适应小波包分解，将分解结果显示于时—频空间即相平面上。
This paper, based on the weight gray target decision theory, sorts several programs according to their off-target distances and provides a theoretical basis for the selection of the best program.
本文基于加权灰靶决策理论，依据靶心距离对多个方案进行排序，为选择最优方案提供理论依据。
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